Triple

T8473857
Position Surface form Disambiguated ID Type / Status
Subject Theoderic the Great E200342 entity
Predicate mother P120 FINISHED
Object Ereleuva
Ereleuva was a 5th-century Gothic noblewoman best known as the mother of Theoderic the Great, the Ostrogothic king of Italy.
 E736708 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ereleuva | Statement: [Theoderic the Great, mother, Ereleuva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ereleuva
Context triple: [Theoderic the Great, mother, Ereleuva]
  • A. Erula
    Erula is a small rural municipality in the Gallura region of northern Sardinia, Italy.
  • B. Erlau
    Erlau is a small municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
  • C. Ehrwald
    Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
  • D. Eşelek
    Eşelek is a small village located on the island of İmroz (Gökçeada) in the Aegean Sea, known for its rural character and traditional island life.
  • E. Leova
    Leova is a small town in southwestern Moldova known for its location near the border with Romania and its position along the Prut River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ereleuva
Triple: [Theoderic the Great, mother, Ereleuva]
Generated description
Ereleuva was a 5th-century Gothic noblewoman best known as the mother of Theoderic the Great, the Ostrogothic king of Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ereleuva
Target entity description: Ereleuva was a 5th-century Gothic noblewoman best known as the mother of Theoderic the Great, the Ostrogothic king of Italy.
  • A. Erula
    Erula is a small rural municipality in the Gallura region of northern Sardinia, Italy.
  • B. Erlau
    Erlau is a small municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
  • C. Ehrwald
    Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
  • D. Eşelek
    Eşelek is a small village located on the island of İmroz (Gökçeada) in the Aegean Sea, known for its rural character and traditional island life.
  • E. Leova
    Leova is a small town in southwestern Moldova known for its location near the border with Romania and its position along the Prut River.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f7328481909ad19bcf8d182022 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a057b6c8190ad592110ca393ee2 completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3b1e188c8190ad894478141f6501 completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3c000e608190adf1b6499d382529 completed April 2, 2026, 9:50 a.m.
Created at: March 30, 2026, 6:11 p.m.